This program is designed to provide the fundamentals of digital media, digital analytics and data science technology so as to prepare students for careers in the increasingly important and in-demand fields of digital analytics, business intelligence and data analytics. The program objective is to use data to improve digital media, predict future trends, transform customer experiences, improve productivity, and guide business decision making. As such, students will be uniquely equipped with the deep analytical skills integral to business today.
In addition to the admission requirements for Diploma Programs, students must have a CGPA of 3.0 out of 4.0 or 3.2 out of 4.0 in the last two years of full-time academic studies.
The schedule is tentative and subject to change.
| Number | Title | Prerequisites | Available Times | |||
|---|---|---|---|---|---|---|
| Winter 2023 | Spring/Summer 2023 | Fall 2023 | Winter 2024 | |||
| CO-REQUISITE COURSE (This course must be taken at the beginning of the program): | ||||||
| CMS2 500 | Mathematics for Management | CMSC 000 (or the Exemption by Examination) |
WED |
WED |
WED WED |
|
| 10 REQUIRED COURSES (30 credits) | ||||||
| CCS2 505 | Programming for Data Science | |||||
| CMIS 530 | Digital Analytics and Targeting |
MON |
||||
| CMIS 543 | Digital Customer Experience |
MON |
||||
| CMIS 544 | Digital Marketing Automation, Planning and Tech. |
WED |
||||
| CMIS 545 | Cloud Computer Architecture | |||||
| CMIS 549 | Digital Media and Search Engine Optimization | |||||
| CMIS 550 | Fundamentals of Big Data |
WED |
TUE |
|||
| CMS2 505 | Quantitative Analysis Tools in Decision Making | Co-requisite: CMS2 500 | ||||
| CMS2 527 | Business Intelligence and Analytics | CMS2 500 (or the Exemption by Examination) |
TUE |
|||
| CMS2 529 | Introduction to Data Analytics | CMS2 500 | ||||